Network-guided group feature selection for classification of autism spectrum disorder

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 8679, Issue , 2014, Pages 190-197

  Cheplygina, Veronika ^a,c   Tax, David M J ^a   Loog, Marco ^a,b   Feragen, Aasa ^b,c  

^a DELFT UNIVERSITY OF TECHNOLOGY   (Netherlands)

^b UNIVERSITY OF COPENHAGEN   (Denmark)

^c Max Planck Institute   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

DISEASES; SUPPORT VECTOR MACHINES; ARTIFICIAL INTELLIGENCE; COMPUTER AIDED INSTRUCTION; FEATURE EXTRACTION; LEARNING SYSTEMS;

ANATOMICAL INFORMATION; ANATOMICAL REGIONS; ANATOMICALLY-GUIDED; AUTISM SPECTRUM DISORDERS; HIGH DIMENSIONALITY; LOGISTIC REGRESSIONS; NEUROLOGICAL DISORDERS; SUPERVISED CLASSIFIERS;

FEATURE EXTRACTION; MEDICAL IMAGING;

EID: 84921691392     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-319-10581-9_24     Document Type: Article

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